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Job Description & How to Apply Below
Location:
Toronto ON Job Type: Contract Our client, a top banking client in Canada, is looking to hire a Business Analyst - Credit Card for their team. The contract is for 12 months and is renewable. This role is Hybrid, i.e. on Thursdays in the Toronto office.
Job Description Provides analysis and reporting to enable direct marketing strategy by engaging in sales lead evaluation, direct marketing campaign measurement, and client-centric analyses for the credit Cards LOB.
Responsible for understanding credit card acquisition and retention programs and campaigns and the impact that they have in card members/clients.
The Senior Consultant is primarily responsible for ongoing and ad-hoc analytical support of credit card acquisition and retention campaigns and programs, including the delivery of detailed campaign post-analyses at the portfolio and channel of acquisition levels, as well as the identification of strategic insights and recommendations that will help drive the Cards business.
Analyzes how campaigns drive client behaviour.
Provide analytical support in the creation of cardholder journey stories and presentations to Senior Management, including monthly and quarterly business review presentations.
The individual will work as part of an Agile POD infrastructure.
Conducts deep-dive analytics to provide business insights to assist the Cards team in meeting their strategic goals. Familiarity with test vs. control and A/B testing campaign performance assessment methodology.
Performs a consultative role in working with multiple card stakeholders and with cross-functional teams on card analytics.
Understands and meets the needs of Cards stakeholders, including supporting with ad-hoc requests.
Informs and updates leaders, team members and business partners on relevant information in a timely manner
Must haves 3-5 years of experience in a consultative role focusing on data analysis. (8+ as a previous BA)
Previous experience in the Credit Card business (Banking or credit card industry)
Experience manipulating and synthesizing large volumes of complex information from multiple sources.
Strong knowledge of data modeling and statistical analysis techniques.
Experience working with multiple stakeholders.
Experience working on an Agile team.
SQL experience / SAS experience (build and run macros)
Nice to have Digital analytics experience (Adobe)
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